This opportunity is ideal for a candidate early in their actuarial journey who is eager to develop strong technical capability in pricing models, data analysis, and automation. You will gain practical exposure to building and enhancing pricing models, while also supporting reserving processes and system improvements. You’ll be working in a structured, delivery-focused environment where learning, growth, and continuous improvement are encouraged. This role offers strong development potential for someone passionate about actuarial modelling and data-driven decision-making.
Key Responsibilities:
Assist with data extraction, cleaning, and preparation using Python and SQL
Support the development and testing of pricing models (including GLMs)
Perform data analysis and basic statistical investigations
Contribute to pricing reviews, monitoring, and reporting
Drive process improvements and automation initiatives
Assist with reserving data preparation, validation, and system implementation
Maintain clear documentation and version control of work
Job Experience and Skills Required:
Education:
Degree in Actuarial Science
Experience:
Minimum 1 year’s experience in short-term insurance
Exposure to pricing models or modelling environments
Progress with actuarial exams
Skills:
Working knowledge of Python (data manipulation and modelling)
Basic understanding of statistical methods and actuarial concepts
Strong Excel skills; SQL advantageous
Other requirements:
Strong attention to detail
Willingness to learn and grow technically
Ability to work in a structured, deadline-driven environment
Interested in this opportunity?
If you're ready to take the next step in your actuarial career, we'd love to hear from you. For more information about this role and other Finance opportunities, visit: https://www.networkrecruitmentinternational.com
If you have not received a response within two weeks, please consider your application unsuccessful. However, your profile will be kept on our database and considered for future opportunities that match your skills and experience.